Tesla's Fleet Analytics team is seeking a Senior Data Engineer to join their central team that helps leverage data collected from Tesla's vehicles, robots, Superchargers, and energy storage devices. This role is crucial in improving autopilot, optimizing hardware designs, and proactively detecting faults. You'll work with a modern tech stack including AWS, S3, Spark, and Trino, utilizing open-source data science tools like Jupyter notebooks, Pandas, and Airflow.
The position offers an opportunity to directly impact Tesla's products and enable hundreds of engineers across the company. You'll be responsible for identifying, computing, predicting, and communicating core metrics about Tesla's vehicle products, while driving cross-functional efforts to improve these metrics. The role requires a unique blend of electrical architecture understanding and software engineering skills to build reliable data pipelines and applications.
Working at Tesla means joining a company at the forefront of sustainable energy and autonomous driving technology. You'll be part of a team that values innovation, first-principles thinking, and has a bias for action. The compensation package is competitive, including a substantial base salary, stock awards, and comprehensive benefits. The company culture emphasizes direct impact, continuous learning, and the opportunity to contribute to revolutionary automotive and energy solutions.
This role is perfect for someone who combines technical expertise with a passion for sustainable technology and data-driven decision making. You'll have the chance to work with petabytes of data, contribute to open source projects, and advance data science on a global scale while helping Tesla maintain its position as a leader in electric vehicles and clean energy.